Introduction
The R community has developed packages for a Bayesian (Bayes) modeling workflow. Metrum Research Group (MetrumRG) designed the bbr.bayes to integrate into this modular workflow and make it easier to leverage these tools when doing Bayes modeling with NONMEM®. All these tools are free and open-source.
Posterior
Provides tools for working with output from Bayes models. bbr.bayes::read_fit_model() reads in output from NONMEM® and formats it as a posterior::draws_array object required by the posterior package.
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Tidybayes
Integrates Bayes modeling with the tidyverse and ggplot.
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Bayesplot
Plotting Bayes models and diagnostics with ggplot.
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LOO
Efficient computation of the leave-one-out (LOO) information criteria for model evaluation.
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